On Thu, Aug 27, 2009 at 6:37 PM, Richardson,
Patrick<patrick.richard...@vai.org> wrote:
> I have a dataset that I'm trying to rearrange for a repeated measures
> analysis:
>
> It looks like:
>
> patient basefev1 fev11h fev12h fev13h fev14h fev15h fev16h fev17h fev18h drug
> 201 2.46 2.68 2.76 2.50 2.30 2.14 2.40 2.33 2.20 a
> 202 3.50 3.95 3.65 2.93 2.53 3.04 3.37 3.14 2.62 a
> 203 1.96 2.28 2.34 2.29 2.43 2.06 2.18 2.28 2.29 a
> 204 3.44 4.08 3.87 3.79 3.30 3.80 3.24 2.98 2.91 a
>
> And I want to make it look like:
>
> Patient FEV time drug
> 201 2.46 0 a
> 201 2.68 1 a
> 201 2.76 2 a
> 201 2.50 3 a
>
> And so on . . . . . There would be 9 "time" and drug is a factor variable.
>
> I know there is a way to do this in R but I cannot remember the function.
> I've looked at the transpose function in (base) but that doesn't seem to be
> what I want. Can something like this be done easily from within package
> functions or would it require writing something custom? Another program would
> use something like the transpose procedure, but I'm trying to stay away from
> that program.
To give a concrete example of what using the reshape package would
look like: (thanks to David for making your example easily
reproducible)
resp.df <- read.table(textConnection("patient basefev1 fev11h fev12h
fev13h fev14h fev15h fev16h fev17h fev18h drug
201 2.46 2.68 2.76 2.50 2.30 2.14 2.40 2.33 2.20 a
202 3.50 3.95 3.65 2.93 2.53 3.04 3.37 3.14 2.62 a
203 1.96 2.28 2.34 2.29 2.43 2.06 2.18 2.28 2.29 a
204 3.44 4.08 3.87 3.79 3.30 3.80 3.24 2.98 2.91
a"), header=TRUE)
closeAllConnections()
library(reshape)
# Identify the variables controlled by your experimental design:
stk.resp <- melt(resp.df, id = c("patient", "drug"))
stk.resp$time <- as.numeric(gsub("[^0-9]", "", stk.resp$variable))
Hadley
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